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» Feature Mining for Image Classification
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183
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ESANN
2006
15 years 8 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth
162
Voted
EVOW
2008
Springer
15 years 9 months ago
Evolving an Automatic Defect Classification Tool
Automatic Defect Classification (ADC) is a well-developed technology for inspection and measurement of defects on patterned wafers in the semiconductors industry. The poor training...
Assaf Glazer, Moshe Sipper
217
Voted
CIARP
2010
Springer
15 years 5 months ago
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure
The aim of this paper is to present a dissimilarity measure strategy by which a new philosophy for pattern classification pertaining to dissimilaritybased classifications (DBCs) ca...
Sang-Woon Kim, Robert P. W. Duin
229
Voted
ICIP
2001
IEEE
16 years 9 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
CAIP
2007
Springer
134views Image Analysis» more  CAIP 2007»
15 years 11 months ago
An Efficient Method for Filtering Image-Based Spam E-mail
Spam e-mail with advertisement text embedded in images presents a great challenge to anti-spam filters. In this paper, we present a fast method to detect image-based spam e-mail. U...
Ngo Phuong Nhung, Tu Minh Phuong